publication . Conference object . 2014

Prior-informed distant supervision for temporal evidence classification

Reinanda, R.; de Rijke, M.; Tsujii, J.; Hajic, J.;
Open Access English
  • Published: 01 Jan 2014
  • Publisher: Association for Computational Linguistics
Abstract
Temporal evidence classification, i.e., finding associations between temporal expressions and relations expressed in text, is an important part of temporal relation extraction. To capture the variations found in this setting, we employ a distant supervision approach, modeling the task as multi-class text classification. There are two main challenges with distant supervision: (1) noise generated by incorrect heuristic labeling, and (2) distribution mismatch between the target and distant supervision examples. We are particularly interested in addressing the second problem and propose a sampling approach to handle the distribution mismatch. Our prior-informed distant supervision approach improves over basic distant supervision and outperforms a purely supervised approach when evaluated on TAC-KBP data, both on classification and end-to-end metrics.
Subjects
ACM Computing Classification System: ComputingMethodologies_PATTERNRECOGNITION
Communities
  • CLARIN
  • Digital Humanities and Cultural Heritage DH-CH communities : CLARIN
Funded by
NWO| Semantic Search in E-Discovery
Project
  • Funder: Netherlands Organisation for Scientific Research (NWO) (NWO)
  • Project Code: 2300168486
,
NWO| Digging archaeology data: image search and markup (DADAISM)
Project
  • Funder: Netherlands Organisation for Scientific Research (NWO) (NWO)
  • Project Code: 2300186891
,
NWO| SPuDisc: Searching Public Discourse
Project
  • Funder: Netherlands Organisation for Scientific Research (NWO) (NWO)
  • Project Code: 2300176811
,
NWO| Modeling and Learning from Implicit Feedback in Information Retrieval
Project
  • Funder: Netherlands Organisation for Scientific Research (NWO) (NWO)
  • Project Code: 2300171779
,
EC| VOX-POL
Project
VOX-POL
Virtual Centre of Excellence for Research in Violent Online Political Extremism
  • Funder: European Commission (EC)
  • Project Code: 312827
  • Funding stream: FP7 | SP1 | SEC
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Conference object . 2014
Providers: NARCIS
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